{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "from pathlib import Path\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import h5py\n",
    "from astropy.time import Time\n",
    "from scipy.interpolate import interp1d\n",
    "import datetime\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from overcast import readers as rd\n",
    "# from overcast.utils import fn2rgt, datainfo, query_rgt, box_sel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ROI = 'BEAUFORT'\n",
    "# dataroot = Path.home()/'shared/data-overcast'/ROI/'subset'\n",
    "\n",
    "# fns07 = sorted( (dataroot/'ATL07/gt2l').glob('*.nc') )\n",
    "# track07 = xr.open_mfdataset(fns07)\n",
    "# fns09 = sorted( (dataroot/'ATL09/profile_2/').glob('*.nc') )\n",
    "# track09 = xr.open_mfdataset(fns09)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "ROI = 'BEAUFORT'\n",
    "dataroot = Path.home()/'shared/data-overcast'/ROI\n",
    "\n",
    "# load in data saved by Zheng\n",
    "track07 = xr.open_dataset(dataroot/'BEA_ATL07_201906.nc')\n",
    "track09 = xr.open_dataset(dataroot/'BEA_ATL09_201906.nc')\n",
    "\n",
    "track07.heights[track07.heights > 1000] = float('nan') \n",
    "track07.photon_rate[track07.photon_rate > 10000] = float('nan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# do the interpolation\n",
    "track07 = track07.swap_dims({'index':'time'})\n",
    "track09 = track09.swap_dims({'dt':'time'})\n",
    "new_track09 = track09.interp(time=track07.time.values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "track07"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_track09"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/ipykernel_launcher.py:2: RuntimeWarning: invalid value encountered in greater\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "laytop = new_track09['layer_top'].values\n",
    "laytop[laytop>20e3] = -100\n",
    "ctop = laytop.max(axis=1)\n",
    "laybot = new_track09['layer_bot'].values\n",
    "cbot = laybot.min(axis=1)\n",
    "\n",
    "bbox = [-150,75,-110,78]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bea_proj = ccrs.NorthPolarStereo(central_longitude=-140)\n",
    "pcproj   = ccrs.PlateCarree()\n",
    "\n",
    "fig = plt.figure(1,figsize=(8,8),dpi=100)\n",
    "\n",
    "vmin = 0; vmax= 1\n",
    "ticks=np.arange(vmin,vmax,.2)\n",
    "ax1 = fig.add_subplot(211,projection=bea_proj)\n",
    "ax1.coastlines(resolution='50m', color='black', linewidth=1)\n",
    "ax1.set_extent([bbox[0],bbox[2],bbox[1],bbox[3]], pcproj)\n",
    "ax1.gridlines(draw_labels=True)\n",
    "# cs = ax1.contour(dsera_cut.lons,dsera_cut.lats,dsera_cut.slp/100,colors='k',transform=pcproj)\n",
    "# ax1.clabel(cs,cs.levels, inline=True,fontsize=10,fmt='%.1f')\n",
    "hdl = plt.scatter(track07['lons'][::50],track07['lats'][::50],c=track07.heights[::50], \n",
    "            cmap=plt.cm.get_cmap('RdYlGn').reversed(), \n",
    "            vmin=vmin,vmax=vmax,\n",
    "            transform=pcproj)\n",
    "\n",
    "plt.colorbar(label=\"heights\", shrink=1, ticks=ticks,extend='both');\n",
    "\n",
    "ax2 = fig.add_subplot(212,projection=bea_proj)\n",
    "ax2.coastlines(resolution='50m', color='black', linewidth=1)\n",
    "ax2.set_extent([bbox[0],bbox[2],bbox[1],bbox[3]], ccrs.PlateCarree())\n",
    "ax2.gridlines(draw_labels=True)\n",
    "plt.scatter(track07['lons'][::20],track07['lats'][::20],c=ctop[::20], \n",
    "            cmap=plt.cm.get_cmap('gist_ncar_r').reversed(), \n",
    "            vmin=100,vmax=700,\n",
    "            transform=pcproj)\n",
    "plt.colorbar(label='cloud top height \\n [m]', shrink=1, ticks=np.arange(100,1000,50),extend='both');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# just a peek at the outliers\n",
    "#plt.scatter(track07.lats,track07.heights, s = 5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(1,figsize=(8,8),dpi=100)\n",
    "plt.scatter(track07.lats, track07.stype, s =10, c = 'b')\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# slconditions = (track07.stype > 1) & (track07.stype < 6)\n",
    "# dlconditions = (track07.stype < 6) \n",
    "# iceconditions = (track07.stype < 1.5) \n",
    "\n",
    "# # group by surface type\n",
    "# SpecLeads = track07_interp[slconditions]\n",
    "# DarkLeads = track07_interp[dlconditions]\n",
    "# ICEICE    = track07_interp[iceconditions]\n",
    "\n",
    "# slindex  = SpecLeads.index\n",
    "# dlindex  = DarkLeads.index\n",
    "# iceindex = ICEICE.index\n",
    "\n",
    "# # subset ATL09 by surface type\n",
    "# # SpecLeads09 = new_track09.isel(dt=slconditions)\n",
    "# SpecLeads09 = new_track09.where(track07.stype > 1, drop=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f003fd7c-ab3e-47d3-bb12-2d4a0f2a1a75' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f003fd7c-ab3e-47d3-bb12-2d4a0f2a1a75' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>nlay</span>: 10</li><li><span class='xr-has-index'>time</span>: 13463</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5e019622-fa7d-4797-bea3-8921942427de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5e019622-fa7d-4797-bea3-8921942427de' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>index</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3291 3292 3293 ... 16752 16753</div><input id='attrs-dd28a004-4490-4dc8-86f4-c3c067bd75d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd28a004-4490-4dc8-86f4-c3c067bd75d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9a9c3c0-4d46-4ab8-a71b-299c2c99b1cc' class='xr-var-data-in' type='checkbox'><label for='data-a9a9c3c0-4d46-4ab8-a71b-299c2c99b1cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([ 3291,  3292,  3293, ..., 16751, 16752, 16753])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-06-12T01:10:45.690883 ... 2019-06-12T01:11:33.502455</div><input id='attrs-d4db69ef-8d82-4611-80dc-db636b5bc11a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d4db69ef-8d82-4611-80dc-db636b5bc11a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb4cb6fc-47ee-4793-b370-9fcb99fd2bff' class='xr-var-data-in' type='checkbox'><label for='data-bb4cb6fc-47ee-4793-b370-9fcb99fd2bff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([&#x27;2019-06-12T01:10:45.690883000&#x27;, &#x27;2019-06-12T01:10:45.692111000&#x27;,\n",
       "       &#x27;2019-06-12T01:10:45.693289000&#x27;, ..., &#x27;2019-06-12T01:11:33.443563000&#x27;,\n",
       "       &#x27;2019-06-12T01:11:33.472018000&#x27;, &#x27;2019-06-12T01:11:33.502455000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>dt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 4.554e+07 nan</div><input id='attrs-53da21ef-5e82-45d7-82bd-6854cfd10e30' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-53da21ef-5e82-45d7-82bd-6854cfd10e30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c06808e5-4b4f-46ef-ae92-d5664e5d51ed' class='xr-var-data-in' type='checkbox'><label for='data-c06808e5-4b4f-46ef-ae92-d5664e5d51ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([              nan,               nan,               nan, ...,\n",
       "       45537093.44356282, 45537093.47201757,               nan])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nlay</span></div><div class='xr-var-dims'>(nlay)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10</div><input id='attrs-b4889210-8dea-449c-9c23-295e97692b2c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b4889210-8dea-449c-9c23-295e97692b2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03c56964-f489-4ee1-9bf1-e00426854608' class='xr-var-data-in' type='checkbox'><label for='data-03c56964-f489-4ee1-9bf1-e00426854608' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10], dtype=int32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-b686ed46-6b46-4ee9-bf35-572328ca042e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b686ed46-6b46-4ee9-bf35-572328ca042e' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>heights</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.88067824 0.8664065 ... nan nan</div><input id='attrs-ba3a12b2-d6af-4f51-8522-8c4b05666759' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba3a12b2-d6af-4f51-8522-8c4b05666759' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c13341e7-a38d-4939-9d70-cc12dad1643f' class='xr-var-data-in' type='checkbox'><label for='data-c13341e7-a38d-4939-9d70-cc12dad1643f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([0.880678, 0.866407, 0.70946 , ...,      nan,      nan,      nan],\n",
       "      dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_flag</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8eb2411c-ffeb-4bdd-a48a-b03243f452eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8eb2411c-ffeb-4bdd-a48a-b03243f452eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7ed8646-e8a8-4517-88ea-bf602fba224d' class='xr-var-data-in' type='checkbox'><label for='data-a7ed8646-e8a8-4517-88ea-bf602fba224d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([0, 0, 0, ..., 0, 0, 0], dtype=int8)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>stype</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1</div><input id='attrs-7eadece7-d5ee-468c-9c71-de752e4a976a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7eadece7-d5ee-468c-9c71-de752e4a976a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d009ef3e-b5a2-47fc-8d77-6f6b73d638b5' class='xr-var-data-in' type='checkbox'><label for='data-d009ef3e-b5a2-47fc-8d77-6f6b73d638b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([1, 1, 1, ..., 1, 1, 1], dtype=int8)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lats</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>78.0 78.0 78.0 ... 75.01 75.0 75.0</div><input id='attrs-de608536-f098-466b-a288-bec5d32ae722' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de608536-f098-466b-a288-bec5d32ae722' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-041a955d-2c2d-40d1-a766-2741a1aa04de' class='xr-var-data-in' type='checkbox'><label for='data-041a955d-2c2d-40d1-a766-2741a1aa04de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([77.999998, 77.999921, 77.999848, ..., 75.005015, 75.003227, 75.001314])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lons</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e624241e-f5c8-40a7-9c03-6e4bcbe67c06' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e624241e-f5c8-40a7-9c03-6e4bcbe67c06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e2d776f-b8d3-413e-95a5-892ba1af2a70' class='xr-var-data-in' type='checkbox'><label for='data-2e2d776f-b8d3-413e-95a5-892ba1af2a70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([-127.035543, -127.035611, -127.035676, ..., -129.191126, -129.192184,\n",
       "       -129.193316])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>photon_rate</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.2413793 5.6153846 ... nan nan</div><input id='attrs-a940aa98-5b20-45e8-82e6-287f1fa892bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a940aa98-5b20-45e8-82e6-287f1fa892bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-845c5d50-7ab5-42d5-8b9d-1b81c1ae69e0' class='xr-var-data-in' type='checkbox'><label for='data-845c5d50-7ab5-42d5-8b9d-1b81c1ae69e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([4.241379, 5.615385, 5.24    , ...,      nan,      nan,      nan],\n",
       "      dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58b93b7f-0042-4262-915b-d742bbc46cae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58b93b7f-0042-4262-915b-d742bbc46cae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beaeba6f-4b63-4c8e-be9f-4b8503dd02d8' class='xr-var-data-in' type='checkbox'><label for='data-beaeba6f-4b63-4c8e-be9f-4b8503dd02d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([2, 2, 2, ..., 5, 5, 5], dtype=int16)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>column_od_asr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 3.403e+38 nan</div><input id='attrs-88ac9136-f498-405e-936b-a0cfb6af9e8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88ac9136-f498-405e-936b-a0cfb6af9e8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7d69a2f-8400-464c-b8e8-a7f52b082d8c' class='xr-var-data-in' type='checkbox'><label for='data-c7d69a2f-8400-464c-b8e8-a7f52b082d8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([           nan,            nan,            nan, ...,\n",
       "       3.40282347e+38, 3.40282347e+38,            nan])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>layer_top</span></div><div class='xr-var-dims'>(time, nlay)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-03c1344e-b46b-475f-8501-c2cb4a1e7c9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03c1344e-b46b-475f-8501-c2cb4a1e7c9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-597b764f-3584-4f00-ba1c-80e904a33e29' class='xr-var-data-in' type='checkbox'><label for='data-597b764f-3584-4f00-ba1c-80e904a33e29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[          nan,           nan,           nan, ...,           nan,\n",
       "                  nan,           nan],\n",
       "       [          nan,           nan,           nan, ...,           nan,\n",
       "                  nan,           nan],\n",
       "       [          nan,           nan,           nan, ...,           nan,\n",
       "                  nan,           nan],\n",
       "       ...,\n",
       "       [6711.57523848,  461.15059565, -100.        , ..., -100.        ,\n",
       "        -100.        , -100.        ],\n",
       "       [6732.90126274,  467.23906982, -100.        , ..., -100.        ,\n",
       "        -100.        , -100.        ],\n",
       "       [          nan,           nan,           nan, ...,           nan,\n",
       "                  nan,           nan]])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>layer_bot</span></div><div class='xr-var-dims'>(time, nlay)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-745729bc-00e7-4561-ad9b-5b5143cd5d76' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-745729bc-00e7-4561-ad9b-5b5143cd5d76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4fa9e06-3838-454d-aaeb-5ea081097eee' class='xr-var-data-in' type='checkbox'><label for='data-e4fa9e06-3838-454d-aaeb-5ea081097eee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[           nan,            nan,            nan, ...,\n",
       "                   nan,            nan,            nan],\n",
       "       [           nan,            nan,            nan, ...,\n",
       "                   nan,            nan,            nan],\n",
       "       [           nan,            nan,            nan, ...,\n",
       "                   nan,            nan,            nan],\n",
       "       ...,\n",
       "       [5.97733199e+03, 1.23759766e+02, 3.40282347e+38, ...,\n",
       "        3.40282347e+38, 3.40282347e+38, 3.40282347e+38],\n",
       "       [5.95600552e+03, 1.23759766e+02, 3.40282347e+38, ...,\n",
       "        3.40282347e+38, 3.40282347e+38, 3.40282347e+38],\n",
       "       [           nan,            nan,            nan, ...,\n",
       "                   nan,            nan,            nan]])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-320d7ddc-c3b9-49d0-bc85-84addc3f3712' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-320d7ddc-c3b9-49d0-bc85-84addc3f3712' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:        (nlay: 10, time: 13463)\n",
       "Coordinates:\n",
       "    index          (time) int64 3291 3292 3293 3294 ... 16750 16751 16752 16753\n",
       "  * time           (time) datetime64[ns] 2019-06-12T01:10:45.690883 ... 2019-06-12T01:11:33.502455\n",
       "    dt             (time) float64 nan nan nan nan ... 4.554e+07 4.554e+07 nan\n",
       "  * nlay           (nlay) int32 1 2 3 4 5 6 7 8 9 10\n",
       "Data variables:\n",
       "    heights        (time) float32 0.88067824 0.8664065 0.70946014 ... nan nan\n",
       "    ssh_flag       (time) int8 ...\n",
       "    stype          (time) int8 1 1 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1 1 1\n",
       "    lats           (time) float64 78.0 78.0 78.0 78.0 ... 75.01 75.01 75.0 75.0\n",
       "    lons           (time) float64 ...\n",
       "    photon_rate    (time) float32 4.2413793 5.6153846 5.24 ... nan nan nan\n",
       "    cloud          (time) int16 ...\n",
       "    column_od_asr  (time) float64 nan nan nan nan ... 3.403e+38 3.403e+38 nan\n",
       "    layer_top      (time, nlay) float64 nan nan nan nan nan ... nan nan nan nan\n",
       "    layer_bot      (time, nlay) float64 nan nan nan nan nan ... nan nan nan nan"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged0709= xr.merge([track07.heights, track07.ssh_flag, track07.stype, track07.lats, track07.lons, track07.photon_rate, track07.cloud,new_track09.column_od_asr, new_track09.layer_top, new_track09.layer_bot])\n",
    "merged0709"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "SpecLeads_OD = merged0709.column_od_asr.where(merged0709.stype > 1)\n",
    "DarkLeads_OD = merged0709.column_od_asr.where(merged0709.stype > 5)\n",
    "Ice_OD   = merged0709.column_od_asr.where(merged0709.stype == 1)\n",
    "Non_OD   = merged0709.column_od_asr.where(merged0709.stype == 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#plt.plot(merged0709.lats,SpecLeads_OD.where(SpecLeads_OD < 1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Normalized histograms of Cloud Optical Depth over Surface Types')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,10))\n",
    "\n",
    "# ax[0].hist()\n",
    "# ax[0].hist(SpecLeads_OD.where(SpecLeads_OD < 1000), density=True)\n",
    "\n",
    "plt.hist(Ice_OD.where(Ice_OD < 1000), density = True, alpha = 0.5, label = 'ice')\n",
    "plt.hist(SpecLeads_OD.where(SpecLeads_OD < 1000), density = True, alpha = 0.5, label = 'all leads')\n",
    "plt.hist(DarkLeads_OD.where(DarkLeads_OD < 1000), density = True, alpha = 0.5, label = 'dark leads')\n",
    "plt.legend()\n",
    "plt.title('Normalized histograms of Cloud Optical Depth over Surface Types', fontsize = 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def interpolate_track(product1_dt, product1_variable, product2_dt, int_type='nearest'):\n",
    "    \n",
    "    \n",
    "#     # in the case here, we are always interpolating ATL07 to ATL09\n",
    "#     change = interp1d(product1_dt, product1_variable, kind = int_type, bounds_error = False)\n",
    "    \n",
    "#     dt2_var1 = change(product2_dt)\n",
    "    \n",
    "#     return dt2_var1"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
